SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

9 July 2020

Pieter Abbeel

Papers citing "SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning"

28 / 128 papers shown

Title
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction A. Ahmad Shuo Cheng D. Saraswat Aly El Gamal Luu Anh Tuan Gurmukh Johal OffRL OnRL 28 1 0 22 Oct 2021
Balancing Value Underestimation and Overestimation with Realistic Actor-Critic Sicen Li Qinyun Tang G. Wang Xinmeng Ma Li-quan Wang OffRL 17 4 0 19 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 24 5 0 10 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 42 17 0 07 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 11 105 0 05 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 262 0 04 Oct 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 59 637 0 30 Aug 2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning Muhammad Rizki Maulana W. Lee 14 1 0 05 Jul 2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation Yaowen Yao Li Xiao Zhicheng An Wanpeng Zhang Dijun Luo 68 20 0 05 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 22 179 0 01 Jul 2021
Towards Automatic Actor-Critic Solutions to Continuous Control J. E. Grigsby Jinsu Yoo Yanjun Qi OffRL 17 6 0 16 Jun 2021
Randomized Exploration for Reinforcement Learning with General Value Function Approximation Haque Ishfaq Qiwen Cui V. Nguyen Alex Ayoub Zhuoran Yang Zhaoran Wang Doina Precup Lin F. Yang 32 43 0 15 Jun 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Xu-Hui Liu Zhenghai Xue Jing-Cheng Pang Shengyi Jiang Feng Xu Yang Yu OffRL 13 37 0 15 May 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 13 38 0 13 May 2021
Maximum Entropy Reinforcement Learning with Mixture Policies Nir Baram Guy Tennenholtz Shie Mannor 9 5 0 18 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 16 11 0 04 Mar 2021
Ensemble Bootstrapping for Q-Learning Oren Peer Chen Tessler Nadav Merlis Ron Meir 19 42 0 28 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp Junfan Lin Zhongzhan Huang Keze Wang Xiaodan Liang Weiwei Chen Liang Lin 11 11 0 30 Nov 2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles Tim Seyde Wilko Schwarting S. Karaman Daniela Rus 23 14 0 27 Oct 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 22 71 0 28 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 37 84 0 29 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 16 11 0 19 Jul 2020
Preventing Value Function Collapse in Ensemble {Q}-Learning by Maximizing Representation Diversity Hassam Sheikh Ladislau Bölöni 6 0 0 24 Jun 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 10 19 0 15 Jan 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016